code: def __init__(
      self,
      d_data: int,
      d_hidden: int,
  ) -> None:
      super(DecoderModule, self).__init__()
      self.d_data = d_data
      self.d_hidden = d_hidden
  
      self.weight = nn.Parameter(Tensor(self.d_data, self.d_hidden))
      self.bias = nn.Parameter(Tensor(d_data))
  
      self._reset_parameters()
  
imports: from typing import Optional, List, Tuple, Union
  import numpy
  import torch
  from torch import Tensor, BoolTensor, nn
  from torch.nn import init, functional
  from tslib.nn.transformer import PositionwiseFFN
  from .kernel import AttentionKernel
  from .disc import SimpleDiscriminator
label_desc: Use image node_id 1 to create a new DecoderModule object from inherited base classes: nn with example: obj = DecoderModule(d_data, d_hidden)